Add to ORKGThe generation of a huge amount of data by an enterprise is of great concern to decision makers. This problem is compounded by the many environmental challenges that an enterprise faces in the effort to produce better products and services. It is highly crucial to know what goes on in its business transactions both internally and externally and to examine the heart of an enterprise's transactions, that is its data, and to transform it into actionable knowledge through the process of knowledge discovery
Churchman (1971) emphasized the continual learning nature of organizations as part of their ontologi...
Data mining at enterprise level operates on huge amount of data such as government transactions, ba...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...
To compete in today's environment, organizations have to develop an ability to use intelligentl...
Abstract. As data sources and data size proliferate, knowledge discovery from ‘Big Data ’ is startin...
Data Warehousing and Knowledge Discovery has been widely accepted as a key technology for enterprise...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Data Mining and Knowledge Discovery is a tested companion investigated logical diary zeroing in on d...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Knowledge discovery from large databases has become an emerging research topic and application area ...
In recent years, technological development in both the computing and data transmission fields has al...
Knowledge discovery is the process of discovering interesting, non-trivial patterns in data [l]. In ...
More and more knowledge does play a decisive role as a factor of production besides the classic fact...
The Intelligent Learning Ecosystem (ILE) integrates all forms of intangible assets, recognizing not ...
Churchman (1971) emphasized the continual learning nature of organizations as part of their ontologi...
Churchman (1971) emphasized the continual learning nature of organizations as part of their ontologi...
Data mining at enterprise level operates on huge amount of data such as government transactions, ba...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...
To compete in today's environment, organizations have to develop an ability to use intelligentl...
Abstract. As data sources and data size proliferate, knowledge discovery from ‘Big Data ’ is startin...
Data Warehousing and Knowledge Discovery has been widely accepted as a key technology for enterprise...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Data Mining and Knowledge Discovery is a tested companion investigated logical diary zeroing in on d...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Knowledge discovery from large databases has become an emerging research topic and application area ...
In recent years, technological development in both the computing and data transmission fields has al...
Knowledge discovery is the process of discovering interesting, non-trivial patterns in data [l]. In ...
More and more knowledge does play a decisive role as a factor of production besides the classic fact...
The Intelligent Learning Ecosystem (ILE) integrates all forms of intangible assets, recognizing not ...
Churchman (1971) emphasized the continual learning nature of organizations as part of their ontologi...
Churchman (1971) emphasized the continual learning nature of organizations as part of their ontologi...
Data mining at enterprise level operates on huge amount of data such as government transactions, ba...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...